Top AI & Machine Learning Jobs

Designs and deploys machine learning and deep learning solutions for factory utility equipment maintenance. Responsibilities include developing interpretable models, creating model service APIs, establishing MLOps and model management processes, supporting real-time intelligent services, improving equipment reliability, reducing energy consumption, preventing anomalies, and collaborating with cross-functional teams.

Develop an AI-enabled proof of concept for New Product Manufacturing, using Generative AI, analytics, dashboards, automation, Python, SQL, and Microsoft tools. The intern will assess manufacturing processes, define data and business requirements, automate reporting or workflows, create operational visualizations, measure productivity benefits, and document recommendations. The role involves collaboration with engineering, manufacturing, data, automation, and business stakeholders.

Designs and builds agentic AI systems that transform complex manual business processes into autonomous, scalable workflows. Responsibilities include process decomposition, AI architecture, agent orchestration, prompt and context strategy, integrations, prototyping, testing, security controls, production delivery, value measurement, and mentoring. The role collaborates with business, IT architecture, security, platform engineering, and project management teams.

Designs and delivers agentic AI systems that transform complex manual business processes into secure, scalable autonomous workflows. Responsibilities include process decomposition, AI architecture, agent and prompt design, integrations, prototyping, testing, human-in-the-loop controls, least-privilege security, cross-functional delivery, value measurement, and mentoring. The role requires strong business-process redesign experience alongside hands-on AI/ML and LLM system development.

Leads the redesign of complex business processes into autonomous, agentic AI systems. Responsibilities include process decomposition, AI architecture, agent workflow development, prototyping, integration, security controls, human-in-the-loop design, testing, production delivery, value measurement, and mentoring. The role collaborates with business, architecture, security, platform engineering, and project management teams to deliver scalable generative AI solutions.

Six-month intern project developing an AI-enabled data harness for product-ramp and business-planning intelligence. Responsibilities include integrating planning data, designing data structures and workflows, applying AI and analytics for scenario modeling and resource optimization, creating decision-support prototypes, and documenting findings. The intern will collaborate with engineering, operations, and business stakeholders while gaining experience in semiconductor R&D operations, budgeting, workforce planning, and cost management.

Leads a team developing and productionizing predictive, machine learning, deep learning, and GenAI solutions for semiconductor manufacturing and HBM product engineering. Responsibilities include yield and reliability modeling, large-scale data pipelines, MLOps, model monitoring and drift control, distributed analytics, deployment, and engineering decision support. The role also requires mentoring engineers, setting technical direction, collaborating cross-functionally, and translating model outputs into improvements in quality, cost, cycle time, and manufacturing efficiency.

Designs and builds agentic AI systems that transform complex business processes into autonomous, scalable workflows. Responsibilities include process decomposition, AI architecture, agent and tool orchestration, prompt and context strategy, prototyping, human-in-the-loop controls, secure permissions, testing, cross-functional delivery, value measurement, and mentoring. The role partners with business, architecture, security, platform engineering, and project teams to deliver production-ready generative AI solutions.

Designs, develops, tests, and validates AI-enabled solutions, analytics capabilities, workflow automation, internal applications, and decision-support tools for EHSS operations. Translates business requirements into scalable technical solutions, prototypes, and reusable patterns. Leads technical feasibility assessments, pilots, integrations, and solution deployment while ensuring data governance, security, architecture, monitoring, and human oversight. Collaborates with EHSS subject-matter experts, IT, PMO, AI teams, and technology partners across global initiatives.

Designs, develops, deploys, and governs AI-powered products, intelligent workflows, and autonomous multi-agent systems for HR and People organizations. Builds integrations across Workday, ServiceNow, Microsoft platforms, APIs, and enterprise data sources. Develops reusable AI frameworks, orchestration, tool calling, retrieval, monitoring, and evaluation capabilities while ensuring security, privacy, compliance, and responsible AI standards. Partners with business and technology leaders to identify transformation opportunities and deliver scalable solutions across recruiting, onboarding, employee services, learning, talent management, and workforce planning.